Forward Deployed Engineer - US

About Parloa Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role: As a Forward Deployed Engineer (FDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale. FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and [... source excerpt omitted ...] duct engineering) of Parloa’s deployments inside large, complex enterprise environments Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes Guide and mento [... source excerpt omitted ...] ders, discussing solutions and architectures in depth to ensure alignment and credibility Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success. Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP Who you are: 4+ years of professional experience in software engineeri